Binary Classification
Papers
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Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Trompt + OpenAI embedding | AUROC | 0.98 | — | Unverified |
| 2 | LightGBM + OpenAI embedding | AUROC | 0.97 | — | Unverified |
| 3 | FTTransformer + RoBERTa fintune | AUROC | 0.96 | — | Unverified |
| 4 | LightGBM + RoBERTa embedding | AUROC | 0.95 | — | Unverified |
| 5 | FTTransformer + RoBERTa embedding | AUROC | 0.94 | — | Unverified |
| 6 | ResNet + RoBERTa embedding | AUROC | 0.93 | — | Unverified |
| 7 | ResNet + OpenAI embedding | AUROC | 0.92 | — | Unverified |
| 8 | FTTransformer + OpenAI embedding | AUROC | 0.91 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Trompt + OpenAI embedding | AUROC | 0.81 | — | Unverified |
| 2 | Multimodal-Net All-Text | AUROC | 0.8 | — | Unverified |
| 3 | ResNet + RoBERTa finetune | AUROC | 0.79 | — | Unverified |
| 4 | LightGBM + RoBERTa embedding | AUROC | 0.77 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Attention based CNN | F1 score | 0.93 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | XGBoost | F1-Score | 98.79 | — | Unverified |